I am a WebSphere Application Server security developer and L3 at IBM. My focus is single sign-on and WS-Security. The views expressed on this web site are my own and do not necessarily reflect the views of IBM. ©

Rozana.in has a far-reaching presence across various cities in India including, Delhi, Noida, Greater Noida, Lucknow, and Barabanki, and is looking forward to setting foot in many other cities like Bangalore, Gurugram, Hyderabad, and Chandigarh soon. Rozana.in focuses on Peer Commerce which looks at building exclusive partnerships with peers who wield community support (offline and online) to leverage the social network and the community for the expansion of the market. This unique blend of tech and synergy existing between the sellers and the agents has helped Rozana.in to build an ecosystem of sustainable growth. With the peer commerce model, as we call it, Rozana.in also looks at empowering its customers by giving them yet another means of saving money on their daily need products. It’s like earning money just by sticking to the usual routine of buying groceries through the online portal. Rozana is proud of the fact that in a way it enables housewives ©

EXPERIENCE IN â–  AI / Machine Learning Engineer (3 years) â–  Backend Developer (8+ years) â–  Technical Lead (6+ years) â–  Full Stack Developer (5+ years) Github: Research interests: AI, Deep Learning, Machine Learning, Software Engineering, Autonomous Cars, Data Mining. Research Development: Data Science - AI and Deep Learning Developing AI-based labeling and a machine-learning tool to evaluate gear image damage detection. Currently, developing an ML pipeline that can perform object detection (continuing). Tools: Python, TensorFlow (Keras), Labelbox API, GraphQL, Nodejs, Nginx, Docker, CI/CD, Gitlab, Ubuntu 18.04. Time-series forecasting of prices and volumes for pharmaceutical raw materials by developing a machine-learning pipeline tool using Bi-Directional LSTM models. Tools: Python, TensorFlow (Keras), Gitlab Completed a Master’s thesis. The thesis work was based on the future motion prediction of traffic scenarios based on past traffic scenarios. Three Deep Neural Networks (DNNs) were implemented by using Tensorflow RNN and Convolutional LSTM (ConvLSTM) API. By using recurrent encoder-decoder ConvLSTM model, a longer time (2+ seconds) traffic scenarios can be predicted. Tools: Python, Tensorflow, ROS, GTest, Git, Ubuntu 16.04, Autonomous Driving. Software Development: 10+ years of SDLC experience Java/Android (4Y), Python (3Y), C# (5Y), C/C++/Tizen (2Y), Asp.Net MVC (3Y), WCF (1Y), GraphQL. (1Y). 7+ years’ industry experience as Team Lead. JQuery, Sencha, OpenLayers JS, Require.js, HTML5/HTML4, CSS 3.0, Umbraco CMS. MSSQL 2008/2005, SQLite, Postgres 8.X/9.X, Git, Perforce, SVN, BitBucket. Plan, analysis, design & development experience in mobile applications (Android/Tizen OS), E-commerce, large scale distributed software solutions (Multi-tier, Client-Server, Web based) & GIS applications. Software Architecture: Framework design using OOP, OOAD, Design Pattern, Anti-Pattern, MVC (MVVM), SOA, Refactoring. Leadership: Leading teams as technical/project lead; project planning & designing for 7+ years. Moved between Agile (Scrum, Sprint). Conducting business logic framework design and code reviews. Achieved the ‘Monthly Best Team’ award for Nov, Y2012, in Samsung R&D Institute (SRBD). Publications: Have 1 journal paper & 1 book publication on data mining and software architecture. Problem Solving: UVa Online Judge - solved 150+ problems Statistics: ©

Engineer in Telecommunications and Electronics, with a Master`s Degree in Digital Signal Processing. Audio/DSP Software Engineer at Microsoft. ©

Hello My name is Daniel and I want to become a programmer. A great one like Mark Zuckerberg and a great inventor like Elon Musk. I just need a help though. Thanks! ©

Prophet disguised as a (retired) bearded electrician. Now studying computational social science. ©

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